Databricks Lakebase Partner & Analytics Solutions – Systech Databricks Lakebase Partner & Analytics Solutions – Systech
Databricks Silver Tier Partner
Databricks Brickbuilder Partner Network — Silver

Modernize, govern,
and activate your data
on Databricks

From legacy migration to real-time operational apps to autonomous AI agents — Systech delivers the full Databricks journey through three proven solution pillars.

Three solution pillars
01
Data Modernization
DBShift™ · Legacy → Lakebase
02
Operational App Modernization
Lakebase · Sub-second apps
03
Agentic AI
Genie · WizarD™ · Outcomes
Partner tier
Silver
Lakebase
Launch Partner
Brickbuilder
Certified
Unity Catalog
Every build
Trusted by leading organizations
2026 solution pillars

One platform. Three transformation layers.

Systech's "Modernize-then-Intelligize" approach takes you from legacy stack to autonomous AI agents — each pillar building on the last.

01
Data modernization

DBShift™ Migration

Automate the migration of legacy databases, SQL, ETL pipelines, and stored procedures to Databricks — with Unity Catalog governance built in from day one.

Key outcome
Legacy → governed Lakebase in weeks
03
Agentic AI

AgentBuild™ on Databricks

Deploy autonomous AI agents on Databricks that don't just answer questions — they execute workflows. AgentBuild™ uses Genie as the intelligence layer and Unity Catalog as the governance layer, so every agent is fast, trusted, and audit-ready.

Key outcome
Outcomes, not just insights
Limited-time offers

A no-cost offer for every pillar

Fixed-timeline engagements designed to de-risk your Databricks investment and deliver a production-ready asset — fast.

Pillar 01 · Data modernization

Databricks Modernization Sprint

4 weeks · no cost

We handle the complexity of moving your legacy data stack to Databricks. You get a governed, production-ready Lakebase environment — and a clear roadmap for everything that comes next.

Pillar 02 · App modernization · No cost

Lakebase App Modernization QuickStart

4 weeks · no cost

Pick one legacy application. In four weeks, it runs on Databricks Lakebase — sub-second, AI-ready, and governed. No cost. No risk. A working asset your team owns at the end.

Pillar 03 · Agentic AI · No cost

AgentBuild™ QuickStart

4 weeks · no cost

Your teams will move from asking questions to taking action. One real business use case, taken from concept to a production-ready AI agent on Databricks — powered by your data, governed by Unity Catalog.

Pillar 01 · Data modernization

DBShift™ — Legacy-to-Lakebase migration engine

DBShift™ automates the conversion of legacy databases, SQL, ETL pipelines, and stored procedures to Databricks-native formats — with Unity Catalog governance applied from day one, not as an afterthought.

🔄

Automated schema conversion

Legacy SQL, DDL, PL/pgSQL and ETL converted to Databricks-native formats — automatically documented and refactored.

🔒

Unity Catalog from day one

Full lineage, access control, and governance applied at migration — not retrofitted after go-live.

🗺️

Enterprise migration roadmap

A data-backed plan and quote for modernizing your full legacy operational estate to Databricks Lakebase.

Pillar 02 · Operational app modernization

LakeBuild™ — Ship production Lakebase apps in weeks

Databricks Lakebase eliminates the boundary between your operational database and your analytics platform — your apps run directly on live transactional data, no ETL, no lag. Systech, as a Lakebase Launch Partner, built LakeBuild™ to make this transition fast and production-ready.

Sub-second app responsiveness

Replace analytical lag — Lakebase delivers transactional speed directly from your data store to your application layer.

🏗️
Systech IP

LakeBuild™

LakeBuild™ accelerates every Lakebase app delivery — pre-built architecture patterns, tested code templates, and aiDE's multi-agent engine generate, document, and govern code automatically. What used to take months ships in weeks. SysMart was built on it.

Learn more about LakeBuild™ →
🔒

Unity Catalog governance — built in

Every LakeBuild™ deployment applies Unity Catalog governance at the data layer from day one — full lineage, access control, and policy enforcement across every app and table.

Example built with LakeBuild™
SysMart — Retail Operational AI Agent
Text-to-SQL + RAG on live inventory data. Resolves 85% of support queries in under 3 seconds with intelligent AI-to-human handoff.
Powered by LakeBuild™
4-week no-cost sprint

Lakebase App Modernization QuickStart

Pick one legacy application. LakeBuild™ migrates it to Databricks Lakebase in four weeks — sub-second, AI-ready, and governed by Unity Catalog from day one. Your team owns everything we build. At no cost.

4wk
fixed timeline
$0
cost to you
A production-ready Lakebase app — built, tested, yours
Clean, governed codebase — documented by aiDE automatically
A data-backed roadmap for your full modernization
Pillar 03 · Agentic AI

AgentBuild™ — Deploy autonomous agents on Databricks

Stop building dashboards. Start deploying agents. AgentBuild™ puts autonomous AI directly on your Databricks environment — Genie powers the intelligence, Unity Catalog enforces the governance, and your agents don't stop at answering questions. They execute the next step.

Intelligence layer

Databricks Genie

The conversational AI layer powering every AgentBuild™ deployment — natural language to governed, cited answers. Teams talk to their data and get instant visualizations from your Lakebase environment.

Systech IP

AgentBuild™

Design, deploy, and govern custom agents on Databricks — no-code to power user. AgentBuild™ orchestrates multi-step reasoning and execution, with every agent governed by the Policy Agent and Unity Catalog. Build once, run securely at scale.

Explore AgentBuild™ →

What agents can do on your data

💬

ESG & sustainability research

"What-if" forecasting and automated ESG narratives — agents that pull from live governed data and generate board-ready outputs automatically.

📊

Finance & operations intelligence

Agents that don't just answer CFO questions — they pull KPIs, generate insight cards, and flag anomalies automatically. No dashboard pre-building, no SQL.

🛒

Retail & supply chain agents

Agents that read incoming requests, trigger relevant actions, and automate ticket triage — not just surfacing insights, but executing the next step.

Powered by AgentBuild™
5-week no-cost engagement

AgentBuild™ QuickStart

Identify one high-impact use case. AgentBuild™ takes it from concept to a production-ready autonomous agent on Databricks in five weeks — your data, your governance, your team enabled to scale it. At no cost.

4wk
fixed timeline
$0
cost to you
Your first production-ready AI agent — built on your data, governed by Unity Catalog
A team that can operate and extend it independently after week five
A clear roadmap for scaling agents across your enterprise
Implementation services

End-to-end Databricks delivery

Cloud readiness assessment

Migration readiness scoring with actionable steps and a defined cutover plan.

Data architecture design

Modern Lakehouse architecture scoped to your industry and data volumes.

DBShift™ migration delivery

Managed migration from legacy stack to Databricks — on time, on budget.

AI agent deployment

AI agents configured to your data semantics and business workflows — governed by Unity Catalog throughout.

Managed services

Ongoing monitoring, optimization, and support for your Databricks environment.

4-week Lakehouse jumpstart

Deploy a unified governed Lakehouse foundation in a fixed 4-week engagement.

Customer stories

Results our customers have seen

View all case studies →
Manufacturing
Augmented order transparency and manufacturing insights on Databricks Lakehouse.
Read story →
Consumer goods
Increased profitability through advanced sales performance analytics.
Read story →
Real estate
Reduced data science notebook migration from 3 weeks to 3 minutes using aiDE™ on Databricks.
Read story →
Financial services
Leveraged customer segmentation to drive targeted growth strategies.
Read story →
Manufacturing
Transformed influencer interactions with data-driven intelligence on Databricks.
Read story →
Systech Insights

From our enterprise architects

Case studies, points of view, and implementation guides — grounded in real delivery across every solution pillar.

Visit Systech Insights →
Pillar 01 · Modernization Case study
How a global pharma company migrated 5,000 pipelines to Databricks in one month
Pharma & life sciences DBShift™ 5 min read

Manual migration was estimated at over a year. Using DBShift™, Systech delivered it in four weeks — with 90% accuracy and 80% reduction in time and cost.

Read the case study
Pillar 02 · App modernization Point of view
The hidden cost of ETL — why operational apps belong on the Lakehouse
AG
Aditya Gollapudi · VP, Enterprise Architecture
Lakebase · App modernization 8 min read

We've spent a decade moving data to the cloud. Now it's time to move the applications — and the cost of not doing so is hiding in plain sight.

Read the article
Pillar 03 · Agentic AI Point of view
How Systech Built an AI-Powered Fraud Investigation Command Center for a Leading Middle East Insurer on Databricks
CK
Cyril Kumar Selvaraj · Architect
Genie · WizarD™ · Agentic AI 10 min read

In time-sensitive scenarios like fraud detection, every second matters. We built the bridge between insights and action.

Read the article

Thinking Databricks?

Let's map your legacy stack to a Lakebase roadmap and identify the right offer for your team — no cost, no obligation.

See all offers